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Backpropagationexamples

于 2010-11-19 发布 文件大小:1KB
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  Neural Networks for compress-Decompress and character recognition.

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    采用低通性质的平滑函数为高斯函数,根据他的一阶导数、二阶导数作为小波基函数进行突变点分析。 (The use of low-pass nature of the smoothing function for the Gaussian function, according to his first derivative, second derivative wavelet basis function as a point mutation analysis.)
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    Digital communication modulation types inclded in this package. I hope it will be useful for your use.
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    Pathsim相关资料,基于watterson信道模型。希望有所帮助。(Pathsim relevant information, based watterson channel model. Hope that helps.)
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